Triple
T8614884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meenakshi Thirukalyanam |
E204009
|
entity |
| Predicate | associatedArtForms |
P29303
|
FINISHED |
| Object | Tamil devotional music |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Tamil devotional music | Statement: [Meenakshi Thirukalyanam, associatedArtForms, Tamil devotional music]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedArtForms Context triple: [Meenakshi Thirukalyanam, associatedArtForms, Tamil devotional music]
-
A.
associatedWithArtForm
chosen
Indicates a relationship where an entity is connected or linked to a particular art form, such as by practice, creation, representation, or influence.
-
B.
associatedWithWorkOfArt
Indicates a relationship in which an entity is connected or related to a specific work of art, such as through creation, contribution, ownership, or contextual association.
-
C.
relatedWorkByArtist
Indicates that one work is connected to another through having been created by the same artist.
-
D.
notableAssociatedArtist
Indicates that there is a significant or noteworthy association between an artist and another entity, such as a work, organization, or place.
-
E.
genreAssociatedWith
Indicates a relationship where a work, item, or entity is linked to or categorized under a particular genre.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca832ceab8819096e4a9f546695079 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc47020748819090f658c115c1a7b9 |
completed | March 31, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69cc455437488190b7506f820daf6e32 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:25 p.m.